A rapid modeling method and accuracy criteria for common-cause failures in Risk Monitor PSA model

• Published in: Nuclear engineering and technology Vol. 53; no. 1; pp. 103 - 110
• Main Authors: Zhang, Bing, Chen, Shanqi, Lin, Zhixian, Wang, Shaoxuan, Wang, Zhen, Ge, Daochuan, Guo, Dingqing, Lin, Jian, Wang, Fang, Wang, Jin
• Format: Journal Article
• Language: Korean
• Published: 2021
• Subjects: Criteria for modeling accuracy; Probabilistic safety assessment; Nuclear power plant; Risk monitor; Common-cause failure
• ISSN: 1738-5733; 2234-358X

In the development of a Risk Monitor probabilistic safety assessment (PSA) model from the basic PSA model of a nuclear power plant, the modeling of common-cause failure (CCF) is very important. At present, some approximate modeling methods are widely used, but there lacks criterion of modeling accuracy and error analysis. In this paper, aiming at ensuring the accuracy of risk assessment and minimizing the Risk Monitor PSA models size, we present three basic issues of CCF model resulted from the changes of a nuclear power plant configuration, put forward corresponding modeling methods, and derive accuracy criteria of CCF modeling based on minimum cut sets and risk indicators according to the requirements of risk monitoring. Finally, a nuclear power plant Risk Monitor PSA model is taken as an example to demonstrate the effectiveness of the proposed modeling method and accuracy criteria, and the application scope of the idea of this paper is also discussed.